Focuses on the assumptions underlying the algorithms rather than
their statistical properties Presents cutting-edge analysis of
factor models and finite mixture models. Uses a hands-on approach
to examine the assumptions made by the models and when the models
fail to estimate accurately Utilizes interesting real-world data
sets that can be used to analyze important microeconomic problems
Introduces R programming concepts throughout the book. Includes
appendices that discuss many of the concepts introduced in the
book, as well as measures of uncertainty in microeconometrics.
General
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